Intelligent Decision-Making in Warehouse Management: How AI Automation Improves Inventory Tracking, Order Fulfillment, and Logistics Efficiency Compared to Drone Technology

This paper analyzes how artificial intelligence (AI) automation can improve warehouse management compared to emerging technologies like drone usage. Specifically, we evaluate AI’s impact on crucial warehouse functions—inventory tracking, order fulfillment, and logistics efficiency. Our findings indicate AI automation enables real-time inventory visibility, optimized picking routes, and dynamic delivery scheduling, which drones cannot match. AI better leverages data insights for intelligent decision-making across warehouse operations, supporting improved productivity and lower operating costs.

Between food fulfillment and income:Can urban agriculture contribute to both?

Food and Agriculture Organization(FAO)is appealing for a global implementation of urban agricultural strate-gies to increase food availability.Bandung,a city in Indonesia,is already participating in this initiative.This research aimed to assess the contribution of urban agriculture toward household food fulfillment and income.Furthermore,the impacts on urban,subsistence,semi-commercial,and commercial agriculture were considered.In-depth interviews to obtain qualitative data and observations were also utilized.A survey of 321 households,consisting of 107 for each urban agricultural type,used questionnaires to obtain quantitative data.These inputs were further analyzed to determine the contribution of household food fulfillment and income.The results showed that average urban agriculture has an insignificant and significant contribution of 9%and 41.5%to household food fulfillment and income.This was due to the vast complexities of metropolitan problems,including limited access to land,lack of participation,dependence on on-market products,and increasing commercialization which opposed urban agricultural policies。

The Fulfillment of Government Responsibilities in the Collaborative Governance of Rural Water Pollution

Rural environmental pollution is becoming more and more serious, which has become an important problem to be solved urgently in our country under the background of the new era. Protecting the ecological environment is one of the important functions of the government, and protecting the rural water environment is the unshirkable responsibility of the local governments. As the main body of rural water pollution control, how to define and fulfill the local governments’ responsibilities is of great significance to the advancement of the overall governance work. This paper starts from the local governments, which are the important main body of rural environmental governance. By comparing the similarities and differences between the performance of government responsibilities under the traditional governance model and the collaborative governance model, clarifies the governance responsibilities of the local governments. And further explores the effective measures for the government to play the main role, fulfill the main responsibilities, and participate in the collaborative governance of rural water pollution.

Fulfillment指数和最终死于某死因概率及其在死因分析中的应用

本文利用1989年哈尔滨市城市居民死因统计资料介绍和讨论了Fulfillment指数和最终死于某死因概率的概念、意义、计算方法及其在死因分析中的应用。

2012—2015年南昌市青云谱区居民主要死因fulfillment指数分析

目的了解南昌市青云谱区居民主要死因及其对居民寿命的影响程度。方法以2012—2015年南昌市青云谱区死亡监测数据中所有死亡个案为研究对象,用SPSS18.0软件对死亡率、死因构成等指标进行统计分析,按照Fulfillment指数法计算青云谱区主要死因对居民寿命的影响程度。结果 2012—2015年青云谱区居民标化死亡率为478.56/10万;主要死因的Fulfillment指数最大值分布：循环系统疾病为80-84岁年龄组的42.08、肿瘤为50-54岁的43.68、呼吸系统疾病为80-84岁的18.00、伤害为25-29岁的56.22、内分泌与营养及代谢疾病为60-64岁的4.01。结论 Fulfillment指数可以指示不同死因对各年龄段居民寿命的影响程度,突出疾病防治工作重点,对提高居民寿命有积极作用。

2014年南昌市西湖区居民死亡现状及Fulfillment指数分析研究

目的了解2014年南昌市西湖区居民死亡水平、死因及其特点,为采取适当的疾病防控策略,提高居民的生命健康水平提供科学依据。方法西湖区疾病预防控制中心提供2014年西湖区居民死亡资料和人口数据,按照国际疾病分类第十版（ICD-10）标准对根本死因进行归类。使用死亡率、死因构成比等指标描述居民死亡水平和死因顺位,采用简略寿命表和去死因寿命表计算Fulfillment指数。结果 2014年南昌市西湖区居民共死亡2 428人,粗死亡率为535.40/10万,标化死亡率为463.06/10万。死因顺位前5位依次是：循环系统疾病、肿瘤、呼吸系统疾病、伤害、内分泌与营养和代谢疾病,合计2 210人,占全死因的91.02%。≤14岁居民死因主要是起源于围生期的某些情况及伤害,15~44岁主要是肿瘤及伤害,45~64岁主要是肿瘤和循环系统疾病,≥65岁主要是循环系统疾病、肿瘤和呼吸系统疾病。Fulfillment指数分布：循环系统疾病集中发生在≥65岁,Fulfillment指数为30.00%以上;肿瘤集中发生在20~69岁,Fulfillment指数为18.17%~44.78%;呼吸系统疾病集中发生在≥60岁,Fulfillment指数为9.30%~17.76%;伤害集中发生在10~24岁,在15~19岁Fulfillment指数高达66.66%;内分泌与营养和代谢疾病集中发生在10~14岁,Fulfillment指数为49.99%。循环系统疾病以脑血管疾病、心脏病和高血压为主,合计占循环系统疾病死因的99.01%;肿瘤内部顺位前3位依次为肺癌、肝癌、胃癌,合计占肿瘤死因的56.63%;呼吸系统疾病以慢性阻塞性肺疾病为主,占呼吸系统疾病死因的67.73%;伤害以交通事故、摔倒或跌落为主,合计占伤害死因的65.93%;内分泌与营养和代谢疾病以糖尿病为主,占内分泌与营养和代谢疾病的87.69%。结论慢性非传染性疾病与伤害是影响南昌市西湖区居民健康的主要疾病,建议针对不同年龄组居民,重点干预不同类型疾病,以降低全人群的发病率和死亡率,提高居民健康水平。

2006～2010年徐州市辖区居民脑血管病死亡的Fulfillment指数分析

目的研究徐州市辖区脑血管病死亡对居民期望寿命的影响程度。方法按照Prifhtis Das Gupta等提出的Fulfillment指数法对徐州市辖区2006～2010年死因监测资料进行分析。结果脑血管病死亡人群主要集中在40岁及以上年龄组,其中70岁年龄组和80岁年龄组所损失的潜在寿命百分数最高。死亡年龄最小的为15岁～组,而且Ful-fillment指数分别为2.87、7.59。男女性Fulfillment指数存在差异,其中男性最高Fulfillment指数为2010年65岁～组的24.04,女性为2010年70岁～组的27.44。结论利用Fulfillment指数法很好地说明脑血管病死亡对各年龄组人口寿命的影响程度,为寻找脑血管病防制的重点时期,提高居民寿命有积极作用。

Fulfillment指数及其在死因分析中的应用

Ｆｕｌｆｉｌｌｍｅｎｔ指数及其在死因分析中的应用江苏省溧水县卫生防疫站（溧水２１１２００）芮洪福／研究某死因对居民死亡及寿命的影响时，一般沿用去死因寿命表法进行分析，但此方法不能明确地阐明个别死因对某年龄人口寿命的影响程度。自１９８５年荷兰学者Ｐｒｉ...

2012年庐江县居民主要死因Fulfillment指数分析

目的：探讨庐江县2012年不同年龄组人群某死因对居民期望寿命的影响程度。方法：根据Prifhis Das Gupta等提出的Fulfilment指数法，对2012年庐江县居民死因监测资料进行分析。结果：2012年庐江县0岁组人群损伤与中毒和呼吸系统疾病对潜在寿命的影响最大，其Fulfil ment指数分别为3.73和6.22；1～39岁年龄段去意外死亡的Fulfil ment指数较高；2012年庐江县居民去恶性肿瘤的Fulfil ment指数在40～60岁年龄段较高；脑血管病自35～岁组后Fulfillment指数大致呈现逐年升高趋势。结论：通过运用Fulfillment指数分析，可以说明各种死因对各年龄组段人口寿命的影响程度，提示某死因防治的重点时期，对提高居民寿命有积极作用。

DS-CDMA system outer loop power control and improvement for multi-service

When a new user accesses the CDMA system, the load will change drastically, and therefore, the advanced outer loop power control （OLPC） technology has to be adopted to enrich the target signal interference ratio （Silt） and improve the system performance. The existing problems about DS-CDMA outer loop power control for multi-service are introduced and the power control theoretical model is analyzed. System simulation is adopted on how to obtain the theoretical performance and parameter optimization of the power control algorithm. The OLPC algorithm is improved and the performance comparisons between the old algorithm and the improved algorithm are given. The results show good performance of the improved OLPC algorithm and prove the validity of the improved method for multi-service.

Genetic Algorithm for Scattered Storage Assignment in Kiva Mobile Fulfillment System

Scattered storage means an item can be stored in multiple inventory bins. The scattered storage assignment problem based on association rules in Kiva mobile fulfillment system is investigated, which aims to decide the pods for each item to put on so as to minimize the number of pods to be moved when picking a batch of orders. This problem is formulated into an integer programming model. A genetic algorithm is developed to solve the large-sized problems. Computational experiments and comparison between the scattered storage strategy and random storage strategy are conducted to evaluate the performance of the model and algorithm.

SERVICE-AWARE BASED FUZZY ADMISSION CONTROL SCHEME IN MULTI-SERVICE NETWORKS

Multi-service aggregated transmission is the direction of IP network. Providing different Quality of Service (QoS) assurance for different services has become a crucial problem in future network. Admission control is a vital function for multi-service IP network. This paper proposes a novel fuzzy admission control scheme based on coarse granularity service-aware technique. Different service has discriminative sensitivity to the same QoS characteristic parameter in general. The traffic class can be perceived by the service request parameter and the proposed QoS function. And requirements of dif- ferent applications can be met by maintaining the life parameter. From simulation results, the proposed scheme shows a better QoS provisioning than those traditional fuzzy logic based methods under the same admission probability.

Study on Task Assignment of Two-stage Multi-service Capability Port Logistics Service Providers

This paper mainly studies the problem of multi-task assignment of providers in port logistics service supply chain.As a core enterprise,port plays the role of logistics service integrator.With the continuous development of industrial integration,logistics service providers not only provide one kind of logistics service,but also develop into composite suppliers who capable of providing a variety of logistics services.This paper studies the task assignment problem of multi-service capability providers in the port logistics service supply chain.The two-stage logistics service provider task assignment model was built,which is based on the mixed evaluation method(including MOORA and FMEA)and the multi-objective planning method.Eventually,the effectiveness of the model method was verified by combining with an example.

Pod Layout Problem in Kiva Mobile Fulfillment System Using Synchronized Zoning

This article studies the pod layout problem in the Kiva mobile fulfillment system which adopts the synchronized zoning strategy. An integer programming model for the pod layout problem is formulated under the premise of knowing the relationship of the pods and items. A three-stage algorithm is proposed based on the Spectral Clustering algorithm. Firstly, the pod similarity matrix and the Laplacian matrix are constructed according to the relationship of the pods and items. Secondly, the pods are clustered by the Spectral Clustering algorithm and assigned to each zone based on the cluster results. Finally, the exact locations of pods in each zone are determined by the historical retrieval frequency of items, using the real data of a large-scale Kiva mobile fulfillment system to simulate and calculate the order picking efficiency before and after the adjustment of the pod layout. The results showed that the pod layout using synchronized zoning strategy can effectively improve the picking efficiency.

COMBINED ADMISSION CONTROL AND SCHEDULING IN MULTI-SERVICE NETWORKS

Providing the required metrics for different service respectively is a basic characteristic in multi-service networks. The different service can be accessed and forwarded differently to provide the different transmission performance. The state information between admission control and scheduling can be exchanged each other by the defined correlation coefficient to adjust the flow distribution in progress. The priority queue length measured by scheduler implicitly can describe the priority flows load. And the fair rate can describe the non-priority flows load. Different admission decision will be made according to the state of scheduler to assure the time-delay upper threshold for the priority flows under heavy load and the fairness for elastic flows in light load, respectively. The stability condition was conduced and proved. Simulation results show the policy can ensure both the delay for the priority flows and the minimal throughput for non-priority flows.

THE STUDY OF SCP OVERLOAD CONTROL IN MULTI-SERVICE ENVIRONMENT

This paper first gives a SCP abstract model, then SCP’s overload detection and maximum processing capability are discussed quantitatively. Based upon dynamic adjustment, a new two-level SCP overload control algorithm is proposed. Theoretical analysis and simulation prove the algorithm’s effectiveness and fairness.

DESIGN OF MULTI-SERVICE SDH NETWORKS: FORMULATION AND HEURISTICS

Multi-service SDH networks support both packet- and circuit-switched traffic. Optimal design of such a network means to guarantee the circuit connections and configure a logical packet-switched topology with lowest congestion. This letter first formulates the problem as a mixed integer linear programming, which achieves optimal solution but has high computation. Then a heuristic algorithm is proposed to yield near-optimal solution efficiently. Performance of the algorithm is verified by an example.

STUDY ON THE ACCOUNT-SHARING STRATEGY FOR MULTI-SERVICES IN IMS ONLINE CHARGING MECHANISM

A prepaid subscriber is allowed to simultaneously implement multiple services in online charging mechanism of IP Multimedia Subsystem (IMS). It is a noteworthy discussion to effectively distribute the limited account resources among concurrent services. An account-sharing algorithm is proposed for multi-services,which introduces resource reclamation and redistribution processes based on the resource reservation of standard specifications and dynamically adjusts them according to the changes of Quality of Service (QoS). Three performance indexes are investigated in the simulation experiments, which are average number of accommodated sessions, average number of completed ses- sions, and average number of iterations per accommodated session. The results show that in the normal QoS level, the three indexes of the proposed algorithm averagely increase by 18.7%, 5.4%, and 3.1% compared with the Prepaid Credit Distribution (PCD) algorithm, and by 2.1%, 1.0%, and 1.8% compared with the Prepaid Credit Reclaim (PCR) algorithm. In the poor QoS level, the performance advantages are greater, which averagely increase by 29.1%, 7.1%, and 2.8% compared with PCD, and by 9.4%, 4.1%, and 3.6% compared with PCR.

Echo-state-network classification based multi-services awareness in high-speed optical passive networks

With the challenge of great growing of services diversity,service-oriented supporting ability is required by current high-speed passive optical network( PON). Aimed at enhancing the quality of service( Qo S) brought by diversified-services,this study proposes an echo state network( ESN)based multi-service awareness mechanism in 10-Gigabite ethernet passive optical network( 10GEPON). In the proposed approach,distributed architecture is adopted to realize this ESN based multi-service awareness. According to the network architecture of 10G-EPON,where a main ESN is running in OLT and a number of ESN agents works in ONUs. The main-ESN plays the main function of service-awareness from the total view of various kinds of services in 10G-EPON system,by full ESN training. Then,the reservoir information of well-trained ESN in OLT will be broadcasted to all ONUs and those ESN agents working in ONUs are allowed to conduct independent service-awareness function. Thus,resources allocation and transport policy are both determined only in ONUs. Simulation results show that the proposed mechanism is able to better support the ability of multiple services.

A Framework Model for an Order Fulfillment System Based on Service Oriented Architecture

To effectively implement order fulfillment, we present an integrated framework model focusing on the whole process of order fulfillment. Firstly, five aims of the OFS （order fulfillment system） are built. Then after discussing three major processes of order fulfillment, we summarize functional and quality attributes of the OFS. Subsequently, we investigate SOA （Service Oriented Architecture） and present a SOA meta-model to be an integrated framework and to fulfill quality requirements. Moreover,based on the SOA meta-model, we construct a conceptual framework model that aims to conveniently integrate other functions fiom different systems into the order fulfillment system. This model offers enterprises a new approach to implementing order fulfillment.